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Attentive
San Francisco, CA, United States
About Attentive: Attentive is the leader in conversational commerce, reinventing business to consumer communication. Our SMS-first software platform helps everyone from entrepreneurs to enterprises strengthen relationships with their consumers in a new way. Through two-way, real-time, personalized communications, we drive billions in e-commerce rev
Job Source: AttentiveApple
San Francisco, CA, United States
AIML - Sr Engineering Program Manager, Machine Learning San Francisco,California,United States Software and Services Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love taking on challenges that create a positive impact? Are you passionate
Job Source: AppleApple Inc.
San Francisco, CA, United States
AIML - Sr Engineering Program Manager, Machine Learning Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love taking on challenges that create a positive impact? Are you passionate about empowering many ground-breaking intelligent experience
Job Source: Apple Inc.Labelbox
San Francisco, CA, United States
Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-
Job Source: LabelboxLabelbox
San Francisco, CA, United States
Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-
Job Source: LabelboxHarnham
San Francisco, CA, United States
Engineering Manager - ML Platform Hybrid Work model, Must be in the Bay Area or open to relocation to the Bay Area $230,000 - $275,000 + Competitive Benefits THE COMPANY COMPANY: A growing health tech start up developing a revolutionary product using Generative AI that will transform traditional healthcare for the future. TEAM: Machine learning an
Job Source: HarnhamPinterest Job Advertisements
San Francisco, CA, United States
About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you'll be challenged to take on work that upholds th
Job Source: Pinterest Job AdvertisementsPinterest Job Advertisements
San Francisco, CA, United States
About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It's where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you'll be challenged to take on work that upholds th
Job Source: Pinterest Job AdvertisementsSan Francisco, CA, United States
Overview:
The vision of the Machine Learning (ML) Engineering team at Disney is to drive and enable ML usage across several domains in heterogeneous language environments and at all stages of a project’s life cycle, including ad-hoc exploration, preparing training data, model development, and robust production deployment. The team is invested in continual innovation on the ML infrastructure itself to carefully orchestrate a continuous cycle of learning, inference, and observation while also maintaining high system availability and reliability. We seek to maximize the positive business impact of all ML at Disney streaming by supporting key product functions like personalization and recommendation, fraud and abuse prevention, capacity planning, subscriber growth and lifecycle intelligence, and so on.
We’re looking for an engineering leader interested in leading the Model Engineering team (part of ML Platform) that builds interfaces, tooling and services to develop and deploy ML models, host and manage them in a high-availability and low-latency production ecosystem. The leader will drive the technical strategy, partner with platform partners and stakeholders, seek feedback, and focus on continuous development and improvement of the ML runtime, and simplified user onboarding.
Responsibilities :
Lead and grow a team to build state of the art ML runtime environment
Provide technical direction for the Model Engineering team
Partner with Product and stakeholders to deliver innovative platform solutions for scalable ML development and deployment
Mentor and facilitate individual careers by optimizing for their success and growth
Maintain a culture of innovation, quality, transparency, inclusion, and empathy
Work in an Agile environment that focuses on collaboration and teamwork
Basic Qualifications:
10+ years of software experience working in large scale, real-time distributed systems
3+ years of leadership experience
Experience building and deploying ML models in production
Experience with cloud technologies in AWS or GCP as well as container systems such as Docker or Kubernetes
Passion for building platforms and infrastructure excellence
Excellent communication and people engagement skills
Preferred Qualifications:
Familiarity with ML pipelines, data ecosystem and AWS technologies
Building ML infrastructure, streaming ML applications
Experience shipping entertainment and media applications for streaming purposes
Required Education:
Bachelor’s degree in Computer Science (or related field) and/or equivalent work experience
The hiring range for this position in New York is $208,400 to $279,500 per year, in California is $199,000 to $292,200 per year, and in Washington is $208,400 to $279,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
Email Alert for Sr Manager, Machine Learning Engineering jobs in San Francisco, CA, United States
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